日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Choroidal-ventricular system abnormalities are linked to amyloid-β aggregation in Alzheimer's disease

脉络膜-脑室系统异常与阿尔茨海默病中的β-淀粉样蛋白聚集有关

Hosseini, Seyyed Ali; Aumont, Etienne; Rahmouni, Nesrine; Woo, Marcel S; Macedo, Arthur C; Hall, Brandon; Chan, Tevy; Therriault, Joseph; Trudel, Lydia; Zheng, Yansheng; Bezgin, Gleb; Lebrun, Aurélie; Arias, Jaime Fernandez; Socualaya, Kely Quispialaya; Tissot, Cécile; Servaes, Stijn; Wang, Yi-Ting; Oliva-Lopez, Delphine; Mitchell, Stuart; Hopewell, Robert; Hsiao, Chris Hung-Hsin; Saleh, Catherine; Stevenson, Jenna; Lussier, Firoza; Wu, Liyong; Chu, Min; Chawla, Sanjeev; Fonov, Vladimir; Massarweh, Gassan; Medina, Yasser Iturria; Soucy, Jean-Paul; Provost, Karine; Rudko, David A; Karikari, Thomas; Benedet, Andréa Lessa; Ashton, Nicholas J; Zetterberg, Henrik; Montembeault, Maxime; Vitali, Paolo; Blennow, Kaj; Gauthier, Serge; Collins, D Louis; Klostranec, Jesse; Pascoal, Tharick A; Rosa-Neto, Pedro

Quantitative susceptibility mapping of the brain is associated with inflammatory changes in Alzheimer's disease related areas

脑部定量磁化率成像与阿尔茨海默病相关区域的炎症变化有关

Hosseini, Seyyed Ali; Servaes, Stijn; Macedo, Arthur C; Aumont, Etienne; Rahmouni, Nesrine; Chan, Tevy; Therriault, Joseph; Trudel, Lydia; Hall, Brandon; Wang, Yi-Ting; Arias, Jaime Fernandez; Bezgin, Gleb; Zheng, Yansheng; Gonçalves, Marina P; Quispialaya Socualaya, Kely; Woo, Marcel S; Tissot, Cécile; Oliva-Lopez, Delphine; Li, Jieying; Mitchell, Stuart; Lebrun, Aurélie; Hopewell, Robert; Chawla, Sanjeev; Fonov, Vladimir; Massarweh, Gassan; Medina, Yasser Iturria; Soucy, Jean-Paul; Montembeault, Maxime; Vitali, Paolo; Blennow, Kaj; Karikari, Thomas K; Benedet, Andréa L; Ashton, Nicholas J; Zetterberg, Henrik; Pascoal, Tharick A; Gauthier, Serge; Klostranec, Jesse; Zhuang, Hangwei; Cho, Junghun; Collins, D Louis; Wang, Yi; Rudko, David A; Rosa-Neto, Pedro

Ventricular enlargement is associated with early Alzheimer's disease pathophysiology

脑室扩大与阿尔茨海默病早期病理生理学相关。

Hosseini, Seyyed Ali; Aumont, Etienne; Rahmouni, Nesrine; Woo, Marcel S; Macedo, Arthur C; Hall, Brandon; Trudel, Lydia; Chan, Tevy; Fernandez Arias, Jaime; Wang, Yi-Ting; Servaes, Stijn; Therriault, Joseph; Zheng, Yansheng; Socualaya, Kely Quispialaya; Bezgin, Gleb; Tissot, Cécile; Oliva-Lopez, Delphine; Hopewell, Robert; Hsiao, Chris Hung-Hsin; Saleh, Catherine; Stevenson, Jenna; Lussier, Firoza; Wu, Liyong; Chu, Min; Chawla, Sanjeev; Fonov, Vladimir; Massarweh, Gassan; Iturria-Medina, Yasser; Soucy, Jean-Paul; Rudko, David A; Gauthier, Serge; Karikari, Thomas; Benedet, Andréa Lessa; Ashton, Nicholas J; Zetterberg, Henrik; Montembeault, Maxime; Vitali, Paolo; Blennow, Kaj; Collins, D Louis; Klostranec, Jesse; Pascoal, Tharick A; Rosa-Neto, Pedro

Effect of disease progression on CSF-directed AAV gene therapy in a large brain animal model of lysosomal storage disease.

在溶酶体贮积症大型脑动物模型中,疾病进展对脑脊液靶向AAV基因治疗的影响

Hunter Jacqueline E, Molony Caitlyn M, Panek Wojciech K, Vite Charles H, Chawla Sanjeev, Poptani Harish, Wolfe John H

MRS and Optical Imaging Studies of Therapeutic Response to Combination Therapy Targeting BRAF/MEK in Murine Melanomas

利用磁共振波谱和光学成像技术研究BRAF/MEK靶向联合疗法对小鼠黑色素瘤的治疗反应

Gupta, Pradeep Kumar; Li, Lin Z; Singh, Dinesh Kumar; Nova, Skyler; Arias-Mendoza, Fernando; Orlovskiy, Stepan; Chawla, Sanjeev; Nelson, David S; Farwell, Michael D; Nath, Kavindra

Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder

利用预训练模型将3D MRI转换为2D特征图以诊断注意力缺陷多动障碍

Hosseini, Elahe; Hosseini, Seyyed Ali; Servaes, Stijn; Hall, Brandon; Rosa-Neto, Pedro; Moradi, Ali-Reza; Kumar, Ajay; Pedram, Mir Mohsen; Chawla, Sanjeev

Distinction of pseudoprogression from true progression in glioblastomas using machine learning based on multiparametric magnetic resonance imaging and O(6)-methylguanine-methyltransferase promoter methylation status

利用基于多参数磁共振成像和O(6)-甲基鸟嘌呤甲基转移酶启动子甲基化状态的机器学习方法区分胶质母细胞瘤的假性进展和真性进展

Yadav, Virendra Kumar; Mohan, Suyash; Agarwal, Sumeet; de Godoy, Laiz Laura; Rajan, Archith; Nasrallah, MacLean P; Bagley, Stephen J; Brem, Steven; Loevner, Laurie A; Poptani, Harish; Singh, Anup; Chawla, Sanjeev

Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases

定量生理磁共振成像结合特征工程,用于开发基于机器学习的预测模型,以区分胶质母细胞瘤和单个脑转移瘤

Hosseini, Seyyed Ali; Servaes, Stijn; Hall, Brandon; Bhaduri, Sourav; Rajan, Archith; Rosa-Neto, Pedro; Brem, Steven; Loevner, Laurie A; Mohan, Suyash; Chawla, Sanjeev

PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms

基于PET放射组学的肺癌淋巴血管侵犯预测:采用多种分割和多机器学习算法

Hosseini, Seyyed Ali; Hajianfar, Ghasem; Ghaffarian, Pardis; Seyfi, Milad; Hosseini, Elahe; Aval, Atlas Haddadi; Servaes, Stijn; Hanaoka, Mauro; Rosa-Neto, Pedro; Chawla, Sanjeev; Zaidi, Habib; Ay, Mohammad Reza

Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas

基于多参数磁共振成像的预测模型在识别胶质母细胞瘤假性进展中的验证

de Godoy, Laiz Laura; Mohan, Suyash; Wang, Sumei; Nasrallah, MacLean P; Sakai, Yu; O'Rourke, Donald M; Bagley, Stephen; Desai, Arati; Loevner, Laurie A; Poptani, Harish; Chawla, Sanjeev